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方法检测限在环境测量中的应用。

The use of method detection limits in environmental measurements.

作者信息

Adams N H

机构信息

Technical Services Branch, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.

出版信息

Qual Assur. 1997 Oct-Dec;5(4):257-64.

PMID:9670240
Abstract

Environmental measurements often produce values below the method detection limit (MDL). Because low or zero values may be used in determining compliance with regulatory limits, in determining emission factors (typical concentrations emitted by a given type of source), or in modeling efforts, there is considerable interest in methods for determining detection limits and in procedures for using MDLs in summary statistics. Selection of methods for determining detection limits and treatment of MDL data should depend on the end-use of the data. The MDL should be determined in the environmental matrix that contains the analyte of interest. Treatment of missing values (values below the MDL) should be specified before the initiation of a measurement effort. When calculating a mean value for a source or area, one approach is to set the missing values at the MDL. This approach is appropriate when there are significant risks associated with incorrectly assuming a low level of a toxic compound; this method of summarizing data introduces a positive bias. Missing values may be assumed to equal zero if there is not a high risk of overlooking a hazard; this method produces a negative bias. However, if enough measurement data are available and the distribution of these data can be established then look-up tables can be used to estimate missing values, using statistically based estimates, without introducing high or low biases in a calculated mean.

摘要

环境测量常常得出低于方法检出限(MDL)的值。由于低数值或零值可能用于确定是否符合监管限值、确定排放因子(特定类型源排放的典型浓度)或用于建模工作,因此人们对确定检出限的方法以及在汇总统计中使用MDL的程序非常感兴趣。确定检出限的方法选择和MDL数据的处理应取决于数据的最终用途。MDL应在含有目标分析物的环境基质中确定。在测量工作开始之前,应指定缺失值(低于MDL的值)的处理方法。在计算某个源或区域的平均值时,一种方法是将缺失值设定为MDL。当错误地假定有毒化合物含量较低存在重大风险时,这种方法是合适的;这种汇总数据的方法会引入正偏差。如果忽视危害的风险不高,则可假定缺失值等于零;这种方法会产生负偏差。然而,如果有足够的测量数据且能确定这些数据的分布,那么可以使用查找表,基于统计估计来估算缺失值,而不会在计算出的平均值中引入高偏差或低偏差。

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